Kling 3.0: Cinematic AI Video for Story-Driven Creation

Supports image and video references, whether for characters or individual elements. The model accurately understands reference content and maintains stability and consistency throughout generation.

Whether the input includes objects, characters, or audio, the model preserves feature-level consistency in the output. Visuals and sound remain stable across camera cuts and scene transitions.

Supports video generation from 3 to 15 seconds, with a maximum length of 15 seconds. Longer clips provide richer narrative space, enabling continuous storytelling without fragmented stitching or manual editing.

Automatically decomposes video content into coherent shot sequences, delivering richer cinematic language and visual storytelling. Camera angles and framing adapt dynamically based on narrative context, accurately interpreting both dialogue and voice-over.

The model accurately identifies characters and their dialogue, even in scenes with multiple speakers. It supports Chinese, English, Japanese, Korean, and Spanish, and can reproduce different dialects and accents while keeping lip movements and facial expressions naturally in sync.

The model faithfully preserves text from the original materials, including logos, labels, and informational copy, keeping characters sharp and correctly formed. It can also generate new text when needed, with clear, reliable rendering suited for detail-critical use cases such as advertising and eCommerce.

The upgraded model delivers faster response times and more stable results, reaching high-quality outputs with fewer iterations and significantly reducing the need for repeated adjustments.